Tomasz Kacala, Marina Stefan & Alexandra Mihai

Conversational AI meets MS data agents to improve customer experience

What if your data could call customers to prevent churn? See how an AI-powered system turns passive data into proactive conversations that improve retention and customer experience.

Conversational AI meets MS data agents to improve customer experience
#1about 2 minutes

Moving from reactive notifications to proactive conversations

Traditional email and SMS notifications for subscription renewals are often missed, leading to revenue loss and customer churn.

#2about 2 minutes

Architecting an end-to-end proactive outreach solution

The solution uses Microsoft Fabric for data, Azure AI Foundry for orchestration, Logic Apps for execution, and ElevenLabs for voice interaction.

#3about 1 minute

Using Fabric Data Agent for natural language queries

The Fabric Data Agent provides an abstraction layer over the lakehouse, allowing AI systems to query structured data using natural language.

#4about 2 minutes

Orchestrating actions with AI Foundry and Logic Apps

Azure AI Foundry acts as the brain to decide on actions, which are then reliably executed by Azure Logic Apps to trigger the conversational AI.

#5about 2 minutes

Understanding the closed-loop data and conversation flow

The system creates a closed loop where data triggers a decision, which leads to an action and interaction, with the outcome captured back as data.

#6about 5 minutes

Live demo of an AI-powered subscription renewal call

A live demonstration shows the AI agent initiating a natural-sounding phone call to a customer to discuss and process a subscription renewal.

#7about 7 minutes

A technical walkthrough of the solution components

This walkthrough explores the configuration of Microsoft Fabric, the AI Foundry orchestrator agent, the Logic App workflow, and the ElevenLabs voice agent.

#8about 2 minutes

Analyzing the business impact and key takeaways

The automated, proactive approach increases renewal rates, reduces churn, and improves customer engagement in a scalable and efficient way.

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